Job Description
Our client provides financial services to companies worldwide. Their mission is to provide multiple services in payments and receivables and to do so with quick, consistent, and flexible service.
What You Will Be Doing
- Grow a scalable environment that will safeguard data safety and resiliency
- Construct and develop data pipelines
- Build and retain data stores, and our data environment
- Participating in all Data Engineering lifecycles, involving technical description, modeling, expansion, assessment, implementation, and upkeep
- Work diligently and frequently with the additional teams
- Help to build, retain, and implement the company's data improvement tools and guidelines.
- Perform code evaluations on a routine basis to enhance quality and guarantee conformity
What You Will Need
- 5+ years of experience in importing and exporting data loader tools and other tools that migrate a great capacity of data
- 5+ years of experience in real-time data incorporation and event-driven design
- 7 years of experience in creating and strengthening complicated, scalable, and widely available data designs
- 7 years of experience in query optimization, ETL data processing pipelines, Business Intelligence, and reporting
- 1+ years of experience in creating data answers using Python
- Familiarity with Agile Development Process and other programs
- Knowledge of CI/CD Tools and systems
- Robust experience in Salesforce Data migration
- Experience with real-time data integration and event-driven architecture
- Experience in developing data solutions using Python
Why Us
Benefits and Perks:
Applicants must be currently authorized to work in the United States on a full-time basis now and in the future.
This position does not offer sponsorship.
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